We introduce and investigate by numerical simulations a number of  models of emotional agents at the square lattice. Our models describe the most general features of emotions such as the spontaneous emotional arousal,  emotional relaxation, and transfers of emotions between different agents.  Group emotions in the considered models are periodically fluctuating between two opposite valency levels and as result the mean value of such group emotions  is zero.  The oscillations amplitude  depends  strongly on  probability p_s of the individual spontaneous arousal. For small values of relaxation times  τ we observed a stochastic resonance, i.e. the signal to noise ratio SNR is maximal  for a non-zero p_s parameter. The amplitude increases with the probability p of local affective interactions while the mean oscillations period increases with the relaxation time τ and is only weakly dependent on other system parameters.  Presence of emotional antenna can enhance positive or negative emotions and for the optimal transition probability the antenna  can  change agents emotions at longer distances. The stochastic resonance was also observed for the influence of emotions on task execution efficiency.

• Legal notice:
  

  Copyright (c) Pielaszek Research, all rights reserved.
  The above materials, including auxiliary resources, are subject to Publisher's copyright and the Author(s) intellectual rights. Without limiting Author(s) rights under respective Copyright Transfer Agreement, no part of the above documents may be reproduced without the express written permission of Pielaszek Research, the Publisher. Express permission from the Author(s) is required to use the above materials for academic purposes, such as lectures or scientific presentations.
  In every case, proper references including Author(s) name(s) and URL of this webpage: https://science24.com/paper/23341 must be provided.

1. q - Ising model on a duplex and a partially duplex clique
2. Heider balance in bilayer networks
3. How are World Events Similar to Contagions?
4. Hierarchical Partitions of Social Networks Between Rivaling Leaders
5. New constant of motion for coevolving voter model
6. Fast rumour source detection in large social networks
7. Is there group  impact on study records?  Data mining analysis of students’ scores at Faculty of Physics, WUT
8. How much information is in New York Times articles ? 
9. Co-evolution of the Potts model and topology of interactions
10. Noise enhances information transfer in hierarchical networks
11. Modeling of scientific paradigms spreading
12. Fluctuation-dissipation relations in physiological data collected during emotional stimulation
13. Emotional clusters observed in Internet communities
14. Transition due to preferential cluster growth of collective emotions in online communities
15. Sentiment and activity analysis of Manchester United football forum
16. Collective emotions in Cyberspace, short review of Cyberemotions Project results  
17. Online discussions modelled by an evolving Ising-like dynamics
18. Sentiment and activity analysis of Manchester United football forum.
19. Emotional clusters observed in Internet communities
20.  Multidimensional analysis of emotions based on physiological signals
21. Entropy-growth-based model of emotionally charged online dialogues
22. Diffusion processes on coupled complex networks
23. Analytical approach to model of scientific revolutions
24. Stochastic resonance for information flows on hierarchical networks
25. Modele agentów emocjonalnych
26. The Lehman Brothers Effect and Bankruptcy Cascades
27. Observations of extreme events at Warsaw Stock Market
28. Analysis and simulation of emotional states in Internet communities
29. Negative emotions as a fuel for discussion in cyber communities
30. Nonequilibrium phase transition due to social group isolation
31. Scaling of human behavior in the portal browsing.
32. Fluctuation scaling of quotation activities in the foreign exchange market
33. Analysis of scientific productivity using maximum entropy principle and fluctuation-dissipation theorem
34. Scaling of clusters in a one-dimensional system
35. Scaling of human activity at several Web portal
36. Properites of correlations in commodity markets
37. Characteristic periodicities of collective behavior at the foreign exchange market
38. Fluctuation scaling of quotation activities in the foreign exchange market
39. Who wins in competition of social networks ?
40. Networks of companies and branches in Poland
41. Competing networks
42. A threshold Potts model of financial markets
43. Transition to Coherent Oscillatory Behaviour in a Route Choice Game
44. Voter model on Sierpinski fractals
45. How much noise is at stock markets ?